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Registro Completo |
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
07/06/2016 |
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Data da última atualização: |
09/06/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
NICOLOSO, R. da S.; RICE, C. W.; AMADO, T. J. C. |
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Afiliação: |
RODRIGO DA SILVEIRA NICOLOSO, CNPSA; Kansas State University; TELMO JORGE CARNEIRO AMADO, UFSM. |
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Título: |
Kinetic to saturation model for simulation of soil organic carbon increase to steady state. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Soil Science Society of America Journal, v. 80, n. 1, p. 147-156, 2016. |
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DOI: |
10.2136/sssaj2015.04.0163 |
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Idioma: |
Inglês |
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Conteúdo: |
The use of mathematical models predicting SOC dynamics can provide relevant information about the C storage potential of agricultural soils. We evaluated three mathematical models (first-order kinetic, C saturation, and a proposed kinetic to saturation) predicting SOC dynamics and steady-state SOC of a Hapludoll from central Kansas. The study was based on a long-term experiment (17 yr) assessing soil tillage systems (chisel tillage [CT] and notill [NT]) and N fertilizer sources (168 kg N ha?1 as NH4NO3 [MF], cattle manure [OF], and a control treatment without N [CO]. The soil under NT (0?5 cm) had significant SOC accumulation (>0.23 Mg C ha?1 yr?1) regardless of fertilization source, while the CT soil had negligible changes in SOC (<0.12 Mg C ha?1 yr?1) without the addition of organic fertilizer as an external C source. Organic fertilization increased the original SOC by 56 and 192%, reaching steady state at 15.9 and 28.0 Mg ha?1 in CT and NT soils, respectively. The SOC predicted by all three models had significant correlations (r > 0.80, p < 0.05) with measured SOC. However, the C saturation model overestimated the measured SOC under C-depleted conditions, failing RMSE and lack-of-fit tests, while the first-order kinetic model overestimated NT OF steady-state SOC by up to 58% in relation to the maximum SOC storage capacity determined for NT soils. The SOC predicted by the kinetic to saturation model agreed with both measured SOC and the maximum SOC storage capacity of NT soils. The kinetic to saturation model can be used for long-term simulation of SOC dynamics in soils that are either C depleted or close to saturation. MenosThe use of mathematical models predicting SOC dynamics can provide relevant information about the C storage potential of agricultural soils. We evaluated three mathematical models (first-order kinetic, C saturation, and a proposed kinetic to saturation) predicting SOC dynamics and steady-state SOC of a Hapludoll from central Kansas. The study was based on a long-term experiment (17 yr) assessing soil tillage systems (chisel tillage [CT] and notill [NT]) and N fertilizer sources (168 kg N ha?1 as NH4NO3 [MF], cattle manure [OF], and a control treatment without N [CO]. The soil under NT (0?5 cm) had significant SOC accumulation (>0.23 Mg C ha?1 yr?1) regardless of fertilization source, while the CT soil had negligible changes in SOC (<0.12 Mg C ha?1 yr?1) without the addition of organic fertilizer as an external C source. Organic fertilization increased the original SOC by 56 and 192%, reaching steady state at 15.9 and 28.0 Mg ha?1 in CT and NT soils, respectively. The SOC predicted by all three models had significant correlations (r > 0.80, p < 0.05) with measured SOC. However, the C saturation model overestimated the measured SOC under C-depleted conditions, failing RMSE and lack-of-fit tests, while the first-order kinetic model overestimated NT OF steady-state SOC by up to 58% in relation to the maximum SOC storage capacity determined for NT soils. The SOC predicted by the kinetic to saturation model agreed with both measured SOC and the maximum SOC storage capacity of NT s... Mostrar Tudo |
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Thesagro: |
Carbono; Composto orgânico; Manejo do solo. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02268naa a2200193 a 4500
001 2046541
005 2016-06-09
008 2016 bl uuuu u00u1 u #d
024 7 $a10.2136/sssaj2015.04.0163$2DOI
100 1 $aNICOLOSO, R. da S.
245 $aKinetic to saturation model for simulation of soil organic carbon increase to steady state.$h[electronic resource]
260 $c2016
520 $aThe use of mathematical models predicting SOC dynamics can provide relevant information about the C storage potential of agricultural soils. We evaluated three mathematical models (first-order kinetic, C saturation, and a proposed kinetic to saturation) predicting SOC dynamics and steady-state SOC of a Hapludoll from central Kansas. The study was based on a long-term experiment (17 yr) assessing soil tillage systems (chisel tillage [CT] and notill [NT]) and N fertilizer sources (168 kg N ha?1 as NH4NO3 [MF], cattle manure [OF], and a control treatment without N [CO]. The soil under NT (0?5 cm) had significant SOC accumulation (>0.23 Mg C ha?1 yr?1) regardless of fertilization source, while the CT soil had negligible changes in SOC (<0.12 Mg C ha?1 yr?1) without the addition of organic fertilizer as an external C source. Organic fertilization increased the original SOC by 56 and 192%, reaching steady state at 15.9 and 28.0 Mg ha?1 in CT and NT soils, respectively. The SOC predicted by all three models had significant correlations (r > 0.80, p < 0.05) with measured SOC. However, the C saturation model overestimated the measured SOC under C-depleted conditions, failing RMSE and lack-of-fit tests, while the first-order kinetic model overestimated NT OF steady-state SOC by up to 58% in relation to the maximum SOC storage capacity determined for NT soils. The SOC predicted by the kinetic to saturation model agreed with both measured SOC and the maximum SOC storage capacity of NT soils. The kinetic to saturation model can be used for long-term simulation of SOC dynamics in soils that are either C depleted or close to saturation.
650 $aCarbono
650 $aComposto orgânico
650 $aManejo do solo
700 1 $aRICE, C. W.
700 1 $aAMADO, T. J. C.
773 $tSoil Science Society of America Journal$gv. 80, n. 1, p. 147-156, 2016.
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Registro original: |
Embrapa Suínos e Aves (CNPSA) |
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| Registros recuperados : 18 | |
| 5. |  | AMADO, T. J. C; RICE, C. W.; NICOLOSO, R. da S.; FIORIN, J. E.; KASSAM, A. Lessons learned from two long-term Conservation Agriculture experiments in Brazil and USA regarding soil functionality. In: WORLD CONGRESS ON CONSERVATION AGRICULTURE, 8., 2021, Bern, Switzerland. The Future of farming: profitable and sustainable farming with conservation agriculture: online proceedings. Brussels: ECAF, 2021. p. 53| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| 9. | | McGOWAN, A. R.; NICOLOSO, R. da S.; DIOP, H. E.; ROOZEBOOM, K. L.; RICE, C. W. Soil organic carbon, aggregation, and microbial community structure in annual and perennial biofuel crops. Agronomy Journal, v. 3, n.1, p.128-142, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| 14. | | NICOLOSO, R. da S.; RIVERA-ZAYAS, J.; HSIAO, C-H.; AKLEY, E. K.; BACCO, G.; RICE, C. W. Soil health assessment in a longterm tillage experiment from central Kansas. In: THE FUTURE OF LONG-TERM EXPERIMENTS IN AGRICULTURAL SCIENCE, 2018, Harpenden. Abstracts. Harpenden: Rothamsted Research, 2018. Workshop 2: Design, data management and sharing, metaanalysis for LTEs and modelling.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| 16. | | LEAL, O. A.; AMADO, T. J. C.; FIORIN, J. E.; KELLER, C.; REIMCHE, G. B.; RICE, C. W.; NICOLOSO, R. da S.; BORTOLOTTO, R. P.; SCHWALBERT, R. Linking cover crop residue quality and tillage system to CO2-C emission, soil C and N stocks and crop yield based on a long-term experiment. Agronomy, v. 10, n. 1848, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| 17. | | RICE, C. W.; AKLEY, E. K.; WATTS, S. M.; McGOWAN, A. R.; BASTOS, L. M.; ARANGO, M.; NOTENBAERT, N.; NORDBERG, E.; NICOLOSO, R. da S.; AMADO, T. J. Profile soil C and N after 25 years of tillage and soil amendments. In: ASA, CSSA AND SSSA INTERNATIONAL ANNUAL MEETINGS, 2016, Phoenix. Resilience emerging from scarcity and abundance. Madison: ASA: CSSA: SSSA, 2016. Poster Number 343-315.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Suínos e Aves. |
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| 18. | | LIEBIG, M. A.; FRANZLUEBBERS, A. J.; ALVAREZ, C.; CHIESA, T. D.; LEWCZUK, N.; PIÑEIRO, G.; POSSE, G.; YAHDJIAN, L.; GRACE, P.; CABRAL, O. M. R.; MARTIN NETO, L.; RODRIGUES, R. de A. R.; AMIRO, B.; ANGERS, D.; HAO, X.; OELBERMANN, M.; TENUTA, M.; MUNKHOLM, L. J.; REGINA, K.; CELLIER, P.; EHRHARDT, F.; RICHARD, G.; DECHOW, R.; AGUS, F.; WIDIARTA, N.; SPINK, J.; BERTI, A.; GRIGNANI, C.; MAZZONCINI, M.; ORSINI, R.; ROGGERO, P. P.; SEDDAIU, G.; TEI, F.; VENTRELLA, D.; VITALI, G.; KISHIMOTO-MO, A.; SHIRATO, Y.; SUDO, S.; SHIN, J.; SCHIPPER, L.; SAVÉ, R.; LEIFELD, J.; SPADAVECCHIA, L.; YELURIPATI, J.; DEL GROSSO, S.; RICE, C.; SAWCHIK, J. MAGGnet: an international network to foster mitigation of agricultural greenhouse gases. Carbon Management, v. 7, N. 3-4, P. 243-248, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Solos. |
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| Registros recuperados : 18 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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